CAGS delivers 5-20 dB higher PSNR in volumetric video streaming by applying a color-adaptive scheme with vector quantization on 3D Gaussians and server-rendered reference images for client-side color restoration.
Robo360: a3domnispectivemulti-materialroboticmanipulationdataset
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
years
2026 4roles
dataset 1polarities
use dataset 1representative citing papers
ABot-M0 unifies heterogeneous robot data into a 6-million-trajectory dataset and introduces Action Manifold Learning to predict stable actions on a low-dimensional manifold using a DiT backbone.
Survey organizing world models for robotic manipulation into representation families, a functional taxonomy, and infrastructure roles across pretraining, post-training, and inference, while reviewing 34 datasets and evaluation protocols.
A survey that clarifies boundaries and organizes World Action Models by generation requirements and predictive substrates, identifying a trend toward generating less of the future.
citing papers explorer
-
CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splatting
CAGS delivers 5-20 dB higher PSNR in volumetric video streaming by applying a color-adaptive scheme with vector quantization on 3D Gaussians and server-rendered reference images for client-side color restoration.
-
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
ABot-M0 unifies heterogeneous robot data into a 6-million-trajectory dataset and introduces Action Manifold Learning to predict stable actions on a low-dimensional manifold using a DiT backbone.
-
World Action Models: A Survey
A survey that clarifies boundaries and organizes World Action Models by generation requirements and predictive substrates, identifying a trend toward generating less of the future.